| Literature DB >> 23015455 |
Audun Stien1, Rolf A Ims, Steve D Albon, Eva Fuglei, R Justin Irvine, Erik Ropstad, Odd Halvorsen, Rolf Langvatn, Leif Egil Loe, Vebjørn Veiberg, Nigel G Yoccoz.
Abstract
Assessing the role of weather in the dynamics of wildlife populations is a pressing task in the face of rapid environmental change. Rodents and ruminants are abundant herbivore species in most Arctic ecosystems, many of which are experiencing particularly rapid climate change. Their different life-history characteristics, with the exception of their trophic position, suggest that they should show different responses to environmental variation. Here we show that the only mammalian herbivores on the Arctic islands of Svalbard, reindeer (Rangifer tarandus) and sibling voles (Microtus levis), exhibit strong synchrony in population parameters. This synchrony is due to rain-on-snow events that cause ground ice and demonstrates that climate impacts can be similarly integrated and expressed in species with highly contrasting life histories. The finding suggests that responses of wildlife populations to climate variability and change might be more consistent in Polar regions than elsewhere owing to the strength of the climate impact and the simplicity of the ecosystem.Entities:
Mesh:
Year: 2012 PMID: 23015455 PMCID: PMC3497145 DOI: 10.1098/rsbl.2012.0764
Source DB: PubMed Journal: Biol Lett ISSN: 1744-9561 Impact factor: 3.703
Figure 1.Annual estimates of sibling vole population sizes, calves per female Svalbard reindeer and ROS. (a) Time series of annual estimates (± 95% CI) of sibling vole population sizes (red colour, 1996–2007), Svalbard reindeer fecundities (calves per female (blue colour, 1995–2011) and ROS (black colour; mm, 1995–2011). (b) Estimated vole population sizes plotted against calves per female reindeer. (c) Vole population sizes plotted against ROS. (d) Calves per female reindeer plotted against ROS. Regression lines for the univariate relationships with 95% confidence envelopes (dashed lines) are given in (c) and (d) with ROS along the x-axis plotted on log(x + 1) scale.
Parameter estimates (with 95% CI), QAICc and R2-values for GLMs for the impact of rain-on-snow (ROS) and previous year's population size (DD) on calves per female reindeer and vole population sizes. QAICc values for the best fit models are in bold.
| response | model | parameter estimates (95% CI) | ||||
|---|---|---|---|---|---|---|
| intercept | ROS (mm) | DD | QAICc | |||
| calves per | intercept | 0.28 (−0.2, 0.8) | 62.8 | |||
| femalea | ROS | 1.8 (0.9, 2.7) | −0.75 (−1.18, −0.37) | 42.2 | 0.57 | |
| DD | 3.8 (2.1, 5.7) | −0.010 (−0.015, −0.005) | 40.0 | 0.39 | ||
| ROS + DD | 3.7 (2.2, 5.2) | −0.46 (−0.84, −0.11) | −0.007 (−0.012, −0.002) | 0.68 | ||
| vole | intercept | 5.1 (4.8, 5.4) | 63.2 | |||
| populationb | ROS | 5.8 (5.5, 6.0) | −0.084 (−0.13, −0.05) | 0.81 | ||
| DD | 5.5 (4.7, 6.2) | −0.098 (−0.24, 0.07) | 61.7 | 0.15 | ||
| ROS + DD | 5.9 (5.5, 6.3) | −0.083 (−0.13, −0.05) | −0.036 (−0.12, 0.05) | 29.5 | 0.83 | |
aROS fitted as log(ROS + 1) in the models.
bDD fitted as log(DD + 1) in the models.